Site Reliability Engineer

26WD98218

Position Overview

An exciting new opportunity has opened for a Site Reliability Engineer within the Autodesk PDMS Platform SRE team. The successful candidate will wear multiple hats: first responder, performance analyst, system architect, capacity planner, and monitoring expert. Good technical and communication skills are required for you to be successful in this role. A passion for learning new technologies and a desire to solve problems you come across are the keys to being successful in this role.

Responsibilities

• Architect and implement hosting solutions for highly dynamic SaaS web applications, ensuring reliability and performance at scale
• Design, implement, and maintain Infrastructure-as-Code solutions to support scalable, reliable, and secure global environments
• Ensure efficient and well-documented standards, processes, and best practices
• Implement security and compliance with best practices across infrastructure and applications, including hardening, enforcing least privileges
• Use modern administration tools like Docker, Terraform, AWS CloudFormation/CDK to manage and deploy containers and virtual machines
• Collaborate with development, testing, and documentation teams during the product development cycle to ensure quality control
• Automate processes and integrate new technologies as needed
• Define and monitor Service Level Objectives (SLOs), Service Level Indicators (SLIs), and manage error budgets to ensure reliability goals are met
• Work with stakeholders to align technical strategy with business requirements
• Participate in on-call support and incident management, ensuring timely resolution and clear communication
• Conduct post-incident blameless postmortems to identify root causes and drive continuous improvement
• Self-starter mindset with a strong drive to learn and own initiatives to promote a culture of continuous improvement, and excellence

Minimum Qualifications

• 5+ years DevOps/SRE experience with cloud-based applications
• Bachelor's degree in computer science or related field
• Experience with AI-assisted engineering tools & practices is preferred
• Advanced hands-on experience Linux administration skills, including monitoring, troubleshooting, reliability and security
• Experience managing large-scale cloud infrastructure (AWS preferred)
• Strong scripting abilities (eg. Bash, Python, Perl, etc)
• Expert-level knowledge of AWS services (EC2, ECS, EKS, Lambda, ELB, S3, IAM, VPC, Dynamo DB, RDS, etc)
• Hands-on experience with Docker, Kubernetes and container technologies
• Proficiency with infrastructure-as-code tools (Terraform, CloudFormation)
• Experience with CI/CD tools. (Jenkins, Artifactory, GIT, etc)
• Skilled in log analysis and monitoring tools (CloudWatch, Splunk, Dynatrace, New Relic, Grafana)
• Experience with relational databases (MySQL, PostgreSQL, MSSQL), and SQL
• Excellent problem-solving skills and ability to work independently
• Excellent written and verbal communication skills

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